leonarski_fandClaude Opus 4.8
02fa15c2b9
The offline worker threads built MXAnalysisWithoutFPGA without selecting a CUDA device, so all per-image preprocessing/spot-finding/azimuthal integration ran on GPU 0 (only the indexer pool was distributed). Add pin_gpu() to CUDAWrapper - a process-wide round-robin counter (counter++ % get_gpu_count(), no thread id, no-op without a GPU, honours CUDA_VISIBLE_DEVICES) - and call it once per worker before building the analysis resources so their CUDA streams/engines land on distinct devices. Also add NUMA_GPU_REVIEW.md: a working note mapping ImageBuffer/NUMAHWPolicy/GPU dispatch with goals and a staged plan (multi-broker GPU isolation via CUDA_VISIBLE_DEVICES, dropping libnuma, reassessing NUMA pinning for the FPGA path). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Jungfraujoch
Application to receive data from the PSI JUNGFRAU and EIGER detectors.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.